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  • eman2: A scientific image processing software suite with a focus on CryoEM and CryoET
  • DeOldify: A Deep Learning based project for colorizing and restoring old images (and video!)
  • napari: napari: a fast, interactive, multi-dimensional image viewer for python
  • Suite2P: Tools for processing 2P recordings
  • labelImg: 🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
  • visionworkbench: The NASA Vision Workbench is a general purpose image processing and computer vision library developed by the Autonomous Systems and Robotics (ASR) Area in the Intelligent Systems Division at the NASA Ames Research Center.
  • ITK.jl: Julia Wrapper for ITK
  • 3D-F-CNN-BrainStruct: This repository contains materials employed in our work to segment subcortical brain structures by employing a 3D fully Convolutional Neural Network.
  • relion: Image-processing software for cryo-electron microscopy
  • SimpleElastix: Multi-lingual medical image registration library
  • CaImAn: Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.
  • thunder: scalable analysis of images and time series
  • pyhrf: PyHRF is a set of tools to analyze fMRI data and specifically study hemodynamics.
  • PSSR: Deep Learning-Based Point-Scanning Super-Resolution (PSSR)
  • quickNAT_pytorch: PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
  • SimpleITK: SimpleITK: a simplified layer build on top of the Insight Toolkit (ITK), intended to facilitate its use in rapid prototyping, education and interpreted languages.
  • neural-enhance: Super Resolution for images using deep learning.
  • colmap: COLMAP - Structure-from-Motion and Multi-View Stereo
  • ANTs: Advanced Normalization Tools (ANTs)
  • Rectlabel-support: RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
  • cet_toolbox: None
  • DAIN: Depth-Aware Video Frame Interpolation (CVPR 2019)
  • OMETIFF.jl: I/O operations for OME-TIFF files in Julia with a focus on correctness
  • clesperanto.github.io: clEsperanto - GPU-accelerated image processing across languages and platforms
  • jupyter-omeroanalysis-desktop: Run OMERO clients in a Linux desktop using Jupyter
  • ffn: Flood-Filling Networks for instance segmentation in 3d volumes.

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